Huawei R&D Sites in Belgium and the Netherlands Jobs

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2022年荷比卢研发类实习生招聘

Huawei Leuven Research Center

Amsterdam & Leuven, Belgium

Student

招聘岗位名称

岗位职责

岗位要求

射频芯片设计实习生

负责全频谱泛ICT射频芯片系统设计以及射频芯片电路开发（TRX、PA、LNA、Mixer、PLL/VCO、VGA、TIA、Driver、CDR、AD/DA等主要模块）、射频芯片验证、射频芯片工艺、建模、可靠性等相关工作。

1、微电子与固体电子学、电子科学与技术、电路与系统、通信工程、电磁场等相关专业，本科及以上学历；

2、善于团队合作，中英文语言流利。

模拟芯片设计实习生

负责数模混合芯片中模拟电路的详细设计、实现、验证等工作，包括Serdes、数模/模数转换器、PLL、PMU、PHY、IoT、CMOS高频电路及频域转换电路等。

1、微电子与固体电子学、电子科学与技术、电路与系统、通信工程、电磁场等相关专业，本科及以上学历；

2、善于团队合作，中英文语言流利。

数字芯片设计实习生

1、负责数字芯片的详细设计、实现和维护以及综合、形式验证、STA、CRG设计等工作；

2、及时编写各种设计文档和标准化资料，理解并认同公司的开发流程、规范和制度，实现资源、经验共享。

1、微电子、计算机、通信工程、自动化、电磁场等相关专业；

2、善于团队合作，中英文语言流利。

网络基础理论实习生

1、参与总部网络优化方向关键技术的研究与创新突破；

2、关键技术研究成果仿真验证。

1、数学专业或理工类学科有意愿从事理论研究的；

2、善于团队合作，中英文语言流利；

3、有数学相关竞赛背景优先。

芯片安全实习生

1、参与芯片安全的洞察工作，整理洞察报告；

2、参与部分项目的方案分析及方案设计和验证。

1、电子、半导体、芯片安全，计算机体系结构，密码学等相关专业，具备系统架构设计，密码学等基础知识；

2、善于团队合作，中英文语言流利。

低功耗实习生

1、低功耗相关技术分析及分析报告；

2、多核多系统计算低功耗技术分析及参与相关方案或设计工作；

3.、低功耗实现低功耗分析及参与相关方案设计工作。

1、数学，统计系（或者数学系里的统计系），数模结合，电子、半导体，芯片设计等相关专业；

2、善于团队合作，中英文语言流利。

SOC系统架构实习生

1、SOC 性能，低功耗等方向技术分析及分析报告；

2、参与相关项目及方案，设计工作。

1、电子、半导体、计算架构，SOC设计，芯片量产及可靠性等相关专业，具备系统架构设计，芯片实现基础知识尤佳；

2、善于团队合作，中英文语言流利。

芯片多媒体实习生

1、参与音频/视频相关的洞察工作，整理洞察报告；

2、参与部分项目的方案分析及方案设计和验证。

1、电子、半导体、声学、信号与系统，阵列信号处理，微电子等相关专业，有CODEC，smartpa，dmic相关背景尤佳；

2、善于团队合作，中英文语言流利。

自然语言处理/语音语义实习生

1、从事语音识别与合成、机器翻译、对话和问答系统、深度自然语言处理、多模态语义理解、知识图谱等方向的应用研究和开发工作；

2、负责自然语言处理核心算法及平台的设计与研发，提升华为终端手机等相关产品的核心竞争力和用户体验。

1、计算机科学、机器学习、统计学、应用数学等相关专业；

2、善于团队合作，中英文语言流利。

机器学习/计算机视觉实习生

1、从事机器学习算法和理论前沿研究，研究领域包括：元学习，AutoML, 深度学习，强化学习，贝叶斯学习等；

2、探索人工智能应用，构建智能系统，提供AI云服务；

3、从事计算机视觉、模式识别、多媒体内容分析等方向的应用研究和开发工作；如3D重建、图像超分、OCR、多目标跟踪、场景识别等；

4、负责计算视觉核心算法及平台的设计与研发，提升公司相关产品的核心竞争力和用户体验；应用场景包括视频监控、智能摄影、车辆视觉等。

1、计算机科学、机器学习、统计学、应用数学等相关专业；

2、善于团队合作，中英文语言流利。

推荐搜索/决策推理实习生

1、洞察推荐系统和信息检索技术在工业级产品的有效解决方案；洞察学术界推荐系统和信息检索的最新研究成果；

2、以下方向的决策推理：

方向一：下一代CT/IT智能运维体系

方向二：下一代CT/数据中心/云计算智能管理&控制体系

方向三：自动驾驶

方向四：企业智能

1、计算机科学、机器学习、统计学、应用数学等相关专业；

2、善于团队合作，中英文语言流利。

AI软件/应用软件实习生

1、在这里，你可以接触最前沿的软件领域技术，参与开发业界最优秀的手机、平板、可穿戴、智能家居、车载等全品类终端精品；

2、在这里，你可以创作极致用户体验的应用APP，围绕鸿蒙生态从事HarmonyOS应用软件研发，以最快的速度看到你贡献的代码被成千上万人使用；

3、在这里，你可以接触到业内先进的开发模式与开发工具，与前辈们进行平等的沟通交流，快速成长。

1、计算机、通信、软件工程等相关专业本科及以上学历；

2、对终端产品软件开发充满激情；

3、善于团队合作，中英文语言流利。

大数据开发实习生

1、深度参与到华为大数据Hadoop、Yarn、Spark、Hive、HBase、Kafka、Zookeeper、Flume、AI平台等组件的研发、交付及解决方案支撑； 2、探索云服务化实现的前沿技术，并负责华为云大数据服务的架构设计、开发、测试及运维。

1、计算机、软件相关专业本科及以上学历；

2、善于团队合作，中英文语言流利。

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3GPP SA2 Standardization Expert

Huawei Leuven Research Center

Leuven, Belgium

Freelance

Remote during pandemic

The role requires familiarity with wireless communication technologies and standard developed by 3GPP, and experience in wireless communication research and attending 3GPP standardization meeting as a delegate.

We are looking for a 3GPP SA2 Standardization Expert/Delegate, who will be responsible to be a delegate to attend 3GPP SA2 WG meetings. His/her primary focus will be the improvement of the Huawei Terminal’s leadership in the 3GPP by involving in the technical discussions and the communicating with other major companies.

The successful candidate will work alongside researchers, domestic standard delegates, engineers and developers, who contribute on different aspects of the project. Therefore, commitment to collaborative problem-solving, advanced design methods and the creation of quality products are essential attributes.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Cambridge (UK).

Responsibilities:

Participate in the 3GPP SA2 meeting, lead and promote the initiation of SA2 subject standards, including obtaining the position of project rapporteur, and improve the voice and influence of Huawei Device on standards.
Fully understand the standard requirements of the product line, develop the standard promotion strategy and plan, and promote the strategy and plan at the SA2 standard meeting.
Gain insights into the research direction of innovative technologies oriented to device business applications, and provide important input and suggestions for team innovation research.
Promote SEP in SA2 work items.
Provide guidance for team members and help them improve their capabilities in the SA2 business domain

Travelling: International travel.

Qualifications and Skills:

Knowledge of wireless communication technologies and standard developed by 3GPP.
Experience and expertise as a 3GPP delegate.
Ability to understand business requirements and translate these into technical requirements.
Well communication skills, especially intercultural communication.

Languages: fluent English (spoken and written).

Desirable soft skills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

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3GPP Standardization Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Standardization Expert (3GPP)

The role requires familiarity with wireless communication technologies and standard developed by 3GPP, and experience in wireless communication research and attending 3GPP standardization meeting as a delegate.

We are looking for a 3GPP Standardization Expert/Delegate, who will be responsible to be a delegate to attend one of the 3GPP WG meetings, including RAN, RAN1, RAN2, RAN4, RAN5, SA1 and SA2. His/her primary focus will be the improvement of the Huawei Terminal’s leadership in the 3GPP by involving in the technical discussions and the communicating with other major companies.

The successful candidate will work alongside researchers, domestic standard delegates, engineers and developers, who contribute on different aspects of the project. Therefore, commitment to collaborative problem-solving, advanced design methods and the creation of quality products are essential attributes.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

Attending one of the 3GPP meetings including RAN, RAN1, RAN2, RAN4, RAN5, SA1 and SA2 as a regular delegate. Communicating with global telecom companies including operators, infrastructure/terminal/chipset vendors for the industry information and views sharing.
Strategy development and planning for the standardization, and influencing the standardization strategy and timeline in 3GPP.
Pushing the requirements from the produce line and the techniques output by the research team. Recognizing new opportunities, risks and potential topics to research team and product team.
Understanding of the overall business picture in order to provide strategic advice to R&D and standardization teams. Working with multiple departments, coaching and mentoring other team members to a strong standard to consistently achieve best practices.
Reporting directly to the Director (European Standardization & Industry Development) based in Leuven (Belgium), though with European oversight, including the UK.

Travelling: International travel.

Qualifications and Skills:

Knowledge of wireless communication technologies and standard developed by 3GPP.
Experience and expertise as a 3GPP delegate.
Ability to understand business requirements and translate these into technical requirements.
Well communication skills, especially intercultural communication.

Languages: fluent English (spoken and written).

Desirable soft skills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

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**5* Top Talent**

Huawei Gent Research Center

Gent, Belgium

Employee

Come on!

Join Huawei 5 Star Top Talent Recruiting Plan ...

We are looking for the Top Talent, if you are

· The Winner of top competitions (High school mathematics/ Physics competition, winner of ICPC, IMO, IMC etc.）

· Published papers in top magazines

· Have been granted patents application

· Top students with highest grade, received scholarship

· Other (e.g. Successful project experience)

Required skills/majors

· AI / Math/ Computer Science, etc.

· Software Engineering / database, etc.

· Physical/ Materials, etc.

Education

· M.Sc. or Ph.D.

· Graduate from 2017/2018/2019/2020

Worldwide challenge Topics are waiting for you

1、Key technologies of the next-generation AI framework

2、Study on the Robustness of Deep Intensification Learning

3、Study on Hierarchical Strengthening Learning for Automatic Driving Application

4、Study on the Method of Minimal Target Segmentation in Medical Imaging

5、Formal Verification Platform Based on LLVM Intermediate Code

6、All-interactive intelligent project management assistant

7、Modeling and Navigation of Autonomous Robot in Unfamiliar Environment

8、Obstacle avoidance control for indoor flying robot

9、displayed in a hover box

10、Holographic video

11、Key points of dense 3D

12、Facial kinship recognition

13、Panoramic segmentation (Panoptic Segmentation)

14、Video Semantic analysis and identification

15、Research on High Precision and High Precision NVH Simulation Technology of Electric Drive System

16、Breakthrough in vulnerability discovery

17、Secure programming language

18、Proof of crash consistency of concurrent file systems

19、Real-time video quality detection

20、In-situ intelligent (In-Situ AI)

21、Active collaborative interaction technology

22、Research on Software Stack Based on New Hardware Interconnection

23、Research on Operating System and Virtualization Technology in Data Center Open Architecture

24、Research on Deterministic Technology of Automatic Driving

25、The ultimate performance of embedded software is doubled in two years.

26、Ark compiler

27、MindSpore depth probability calculation MindSpore

28、MindSpore Causal Cognitive Calculation MindSpore

29、Study the interpretability of AI technologies.

30、Data Storage and Optimization Oriented to Efficient AI

31、Multi-mode converged search

32、Knowledge-based semantic computing

33、low latency communications (LLC)

34、Future-oriented 3D GIS-Semantic, Mesh Simplification, and Indoor High-Precision Positioning

35、NLP

36、Knowledge Graph

37、Speach Recognition

……（consistently updated ）

More challenges, more chances to change the World!

We offer

· Provide super competitive compensation package for Top talents (3 to 5 times of market pay);

· Provide world class challenging projects，global job opportunities based on the major of Top Talent and Huawei global business layout（Location: Globally, such as Sweden、Finland、France、UK, Germany、China, Russia, Poland, Belgium, the Netherlands, etc.）

· Assign Fellow or top expert of Huawei as mentor to Top Talent

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Academic Cooperation Manager

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

We are looking for an expert (m/f) who has significant experience in the field of cooperation management in the industry.

If you are enthusiastic to shape the future of Huawei Amsterdam Research Center together with us, find it attractive to work on a very high level of technical innovation and being part of a multicultural team and growing environment, please contact us.

Job Responsibilities

Based on the company's business development and long-term competitiveness building requirements, keep exploring valuable academic collaboration research ideas, responsible for the research topic exploring, proposals analysis, requirement analysis, topic application and defense, project execution. Covering AI research fields such as NLP, CV, IR, and KG.
Responsible for tracking and watching opportunities in EU and Netherlands national projects, developing proposals, consortium setting up, and coordinating project implementation as coordinator;
Continuously analyse TOP academic resources of top Netherlands universities, recommending and reporting relevant academic resources and cooperation opportunities based on the company's business development needs.
Maintain and enhance cooperation relationship with Netherlands universities, organizing various academic activities, including academic seminars, technical summits, academic reports, etc.

Position requirements:

Engineering education background, computer science, information science, applied mathematics or related science disciplines, PhD degree is preferred;
Have at least three years of research background or project experience in AI fields such as NLP, CV, IR, and KG.
Experiences in EU projects such as Horizon Europe or Netherlands national projects is preferred.
Fluency in English, strong communication skills, writing and presentation skills;
Chinese native speaker , Dutch native speaker are preferred.
Familiar with Dutch universities channels. Management relationships and contacts are preferred.

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Data Annotation Specialist

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

For our R&D Centre in Amsterdam we are looking for a Data Annotation Specialist to join our team

About The Job

You'll work as an integral part of an operational team, sifting language materials against requirements to identify reportable intelligence that will be forwarded to analysts to help shape and influence their operational decision making.

As a Data Annotation Specialist, you will be involved into evaluating the performance of the system, annotating linguistic data and working closely with our engineering teams.

You will use your analytical mindset, strong communication skills, collaborative attitude, and personal drive to increase the performance of the system

Tasks:

Evaluate the system performance from consumer’s perspective, and annotate linguistic data to optimize web search experience
Provide accurate annotations for Machine Translation and Speech to Text content, as well as other language related AI models.
Test the platform system, collect all bugs and flaws, categorize them into charts, and prepare detailed reports for the tech team to solve the issues

Qualifications

1+ years of experience in Analytical, Logical, Eye for detail and self-learning with minimal support
Tech Savvy, comfortable using internet based applications - surveys
Native local language level & deep appreciation of local nuances (Arabic, German, Turkish, French, Spanish or Russian)
Bilingual skills is a plus
Have in-depth, up-to-date familiarity with current country's social culture, media, and web culture Good web research skills and analytical abilities.
Good web research skills and analytical abilities.
Proficient communication skills in English is a must.
Being stress resilient and flexible

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Director of R&D Silicon Photonics

Huawei Gent Research Center

Gent, Belgium

Employee

Huawei Technologies R&D Belgium is a centre of excellence for silicon photonics design and processing. It was initially created as a spin-off from the University of Gent and Imec in 2010 and then acquired in 2013 by HiSilicon, the chip division of Huawei. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics research and development and implementing solutions based on this technology. Huawei Technologies R&D Belgium, or Belgian Research Centre (BeRC), will be at the heart of this research and development.

Huawei’s Belgian Research Centre (BeRC) is a fast growing research institute in the Centre of Europe. BeRC’s vision is to be a world-leading research center for innovative technologies and platforms enabling the development of world-class products and solutions. BeRC’s mission is to strengthen our competence in Huawei’s core technologies, adding value to platforms, products and solutions, creating and promoting thought leadership by making innovation a reality and valuable.

Huawei Technologies R&D Belgium is now looking for a Director of R&D, Silicon Photonics Group with a strong expertise in both Photonics Integrated Circuit (PIC) design using silicon, silica or InP, a good background in process integration and exposure to the opportunities for photonics integrated circuits in telecom/datacom as well as non-telecom domains. He/she will already have had responsibility of bringing products to market amid tight deadlines and exacting specifications. He/she will lead all design and process development activities, organizing and personally contributing to the innovation of new products and designs.

Within the scope of your areas of expertise, your responsibilities include the following:

Design

Ensure the design projects are executed on time, within budget and meet specifications
Regularly review, offer guidance and technical insight to the design team

Process Platform

Translate product requirements into specifications for chip design and process platform, evaluating available trade-offs
Work with the Process Development Team Leader to define required process modifications or optimisations to realize required photonics structures. Plan, budget, win approval and execute the associated developments.

Winning new projects

Finding new business opportunities and getting a buy-in from important stake-holders
Ensuring a detailed understanding of the application, potential photonics solutions and evaluating the pros/cons of each, Performing business analysis and technical risk evaluation of proposed designs/solutions.
Active involvement in networking, establishing relevant contacts in academia and industry, writing proposals for collaboration projects.

Management and Leadership

Mentor, coach and appraise team leaders, help build their team through successful recruitment and high retainment levels
Represent the Belgian team within Huawei
Cooperate with other related R&D groups in Europe

Requirements & Qualifications:

Strong management experience with the ability to provide others with clear direction and leadership e.g. lead a project team to cooperate with a team of international experts in different areas including marketing, R&D and standardization.
Minimum 10 years’ experience in photonics of which five years in the development of Photonics Integrated Circuits. Proven track record of delivering designs which end up in production.
A detailed understanding of process integration relevant to Photonics Integrated Circuits (either III-V or Silicon photonics)
Ability to quickly understand new application areas and product requirements
Experience as interface between industry, academia, authorities and institutions in Europe
Excellent communication and presentation skills
Critical and analytical style
Master or PhD in related technical discipline
Experience with Chinese business culture is an advantage
Fluent in English (written and spoken)
Dutch or Chinese language knowledge is a plus

If you desire to embrace the above described challenge, with a very high level of technical innovation, being part of a multicultural team and growing environment, feel free to contact us. Driving future technologies with focus on customer satisfaction is one of our missions. Join us!

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Ecosystem Manager

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

Responsibilities:

Responsible for the construction and maintenance the relationship with the partner of Petal Search ecosystem in the local market, include content integration cooperation, Traffic cooperation and monetization cooperation.
Responsible for search & mobile internet & vertical industry (News, Shopping, Local POI, Nearby, Travel etc..) & search ads ecosystem insight & market investigation, find out the new leads of searching service, sourcing for potential search local partner.
Responsible for local user’s behavior analytics and search market analytics , planning the new search feature and products of local market, including experience design, sourcing for the data source, local market trial;
Responsible for integration pattern & business model design for cooperation, support BD department to negotiation & contract with partners.
Responsible for Planning marketing event & promotion of Petal Search, including event sponsorship, event participation, key note speech and so on, increasing Petal Search product awareness in partners.

Professional knowledge requirements

Minimum 2 years of mobile internet and search operation experience;
Deeply insight of local ecosystem of searching and Search ads. Good understanding with local users’ behavior and mobile internet ecosystem.
Have good connection with local ecosystem partners of search or the other relative domain.
Familiar with architecture of searching engine, and keyword advertisement system.
Familiar with the concept or knowledge of web page indexing, crawl, page ranking, keyword biding, CTR, CPC and so on.
Mobile internet product planning experience is preferred. Good data analysis capability, familiar with the tools of analysis and data model.

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Energy-efficient training algorithms Student Internship

Huawei Leuven Research Center

Leuven, Belgium

Internship

Partial Remote Job

Our newly founded Fundamental Theory Lab part of Belgium Research Center (Leuven, Belgium) will play a leading role in researching new computational technologies for next generation networks. Research activities range from mathematical and computational optimization up to their application to sequential decision processes, online optimization for scheduling, predictive network modeling, automated pattern detection/extraction, automated data labeling and as well as fast converging solvers.

Description: this internship is situated in the domain of computational methods for neural networks; the training of neural networks by backpropagation does (often) not account for energy consumption considerations and the resulting constraints on the properties and usage of the learned model. However, these constraints are of fundamental importance in enabling autonomy of devices executing the learned model(s).

Goal: the main goal of this internship is to formulate, design and evaluate optimization methods and algorithms that minimize the neural network loss/error function (associated to simple regression/ classification tasks) under energy constraints.

Tasks: the tasks assigned to the intern -under the supervision of a Post-Doc level promotor- include but are not limited to:

Development and evaluation of energy consumption models
Design and numerically evaluation of first order iterative optimization algorithms for solving of nonlinearly constrained problems for the training of multi-layer neural networks
Comparison against non-constrained training algorithms (accuracy vs. complexity vs. energy consumption)

Duration:

Short duration (from 3 to 6 months): suited for MSc curriculum course or other voluntary activity conducted in academic context.
Long duration (up to 12 months): suited for MSc thesis internship
Note well: following Belgian Law, being a student internship (no working contract) only direct costs may be reimbursed.

Candidate profile and Position requirements:

At least : last year of MSc degree in Applied mathematics, Mathematical engineering, Numerical Mathematics but also Theoretical computer science, Computer science engineering.
- Note well: candidate must be enrolled or already obtained their University degree from an academic institution of one of the EU country.
Experience in either
- Continuous optimization and nonlinear programming together with good knowledge of iterative methods for the solving of constrained nonconvex optimization problems
- Stochastic optimization and related methods including stochastic approximation, sample average approximation, stochastic splitting methods etc.
Experience in energy-/power consumption models for computing systems is considered as a plus.
Good knowledge of programming language (C/C++, FORTRAN), functional programming language (LISP, Julia, etc.) or numerical programming languages (such as Octave) is considered as a plus.
Excellent Communication skills - Presentation, oral and writing skills.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
- The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
- The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must follow or have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date:

1st 2022 (earliest) – Sep.1st 2022 (latest)

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Fresh PhD Analog IC Design Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

No remote work

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation transceivers, supporting 4G (LTE), 5G and 6G systems.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing high speed communication market. Now is your chance to join our leading R&D team and to develop state-of-the-art prototypes and products.

Job Description.

We are offering SENIOR INTEGRATED CIRCUITS DESIGN ENGINEER positions enabling you to join the creation of the next generation advanced communication chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

The candidate will design (IC design), simulate, layout and test integrated analog, mixed-signal and/or RF circuits in advanced CMOS or SOI technologies.

He/she will also perform experimental verification and debugging, along with the integration of complex RF & Mixed Signal functions into system chips. Building accurate models based on layout extraction and 2D/3D modeling tools to match measurements with simulations is essential.

Required Education and Experience:

Excellent Ph.D.
Shown knowledge of CMOS analog, RF or mm-wave integrated circuit design
Shown knowledge with Cadence Spectre, Virtuoso or other equivalent Agilent and/or Mentor tools is required.
Good communication skills & team-player.
Result driven
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Willing to relocate to Leuven region (Belgium).

Location

Leuven (BE), (partially) remote during Covid situation

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Fresh PhD Silicon Photonics Design Engineer

Huawei Gent Research Center

Leuven, Belgium

Employee

Huawei Belgium Research and Development Group (formally Caliopa) is a center of excellence for silicon photonics design and processing. It was initially created as a spin-off from the University of Gent and Imec in 2010 but it has been acquired by Huawei in 2013. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics research and development and implementing solutions based on this technology. Huawei Belgium R&D group is at the heart of this program. The group is located in Gent, a vibrant city in Belgium in the heart of Europe.

To strengthen our team, Caliopa is now looking for a Photonics Design Engineer.

Job responsibilities:

Work as part of a team of photonic design engineers dedicated to developing Huawei’s silicon photonics platform
Design and validate photonic components, subsystems and circuits
Define test plans and analyze experimental data in R&D phase
Work closely with components/modules teams
Work closely with the processing and test teams
Depending on your skills and interests, the job can focus more on developing and optimizing the building block library, next-generation product development or developing cutting edge technologies for application further in the future

Requirements & Qualifications:

In depth knowledge of integrated optics
Education requirements:
Ph.D. in Photonics, Electrical Engineering, Physics, or related field
M.S. in Photonics, Electrical Engineering, Physics, or related field + 2 years of work experience in a photonics research center or foundry

Experience requirements:

Design and test of photonic components in silicon photonics or III-V materials
Knowledgewithwith design and test of high speed photonics active components would be an advantage
Hands on knowledgewith photonics modelling tools (e.g. Photon design, Lumerical, COMSOL, CST)
Hands on knowledgewithwith layout tools (e.g. Tanner L-Edit, Luceda Ipkiss). Experience with Luceda Ipkiss would be an advantage
Knowledgewithwith Python would be an advantage
Knowledgewithwith Linux or C# would be an advantage

Language:

Fluent in English (written and spoken),
Dutch or Chinese language knowledge is a plus

Attitude:

Strong team player
Excellent written and oral communication skills
Creativity in problem-solving
Continuous improvement

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HR Branding Intership

Huawei Leuven Research Center

Leuven, Belgium

Internship

Remote during pandemic

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Are you looking for an opportunity to gather work experience across the many facets of branding and communications for a big / international organization known for being a first mover within the Telecommunication industry? Then read on!

We believe that even an internship can be an amazing experience and we invite you to join our international organization with like-minded people in a multicultural environment where you can both learn and contribute to preparing your own future.

Assignment Description:

Our HR team is looking for an enthusiastic intern to join us in our efforts to be recognized as the coolest and most fun place to work in Belgium.

The responsibility includes:

You will support the team in activating the Huawei employer brand through different activities:

Analyze our Employer Branding data;
Create & implement Employer Branding strategy together with our HR Team;
Figuring out stories worth telling & developing campaigns for different audiences on our Social Medias (Linkedin, Facebook, Instagram, …);
Promote our Recruitment ideas;
Promote the image of Huawei Belgium Research Center;
Support the team on diverse Recruitment projects.

Required Education:

You are doing a Master in Human Resources, or Marketing, or Social Media, or Business Engineering, or Public Relations;
Excellent knowledge of Dutch or French and English;
At ease with IT and Social Networks;
You have good communication skills (written and spoken);
Confident and pro-active, dynamic personality;
You like working in a team but you can also work autonomously and proactively.

Location:

Leuven &/or Gent, hybrid on site

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Internship in Accelerated Training with Fast Converging Solvers

Huawei Leuven Research Center

Leuven, Belgium

Student

In neural-based learning, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. Due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, training performs by solving nonconvex optimization problems over nonconvex sets. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/ extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, trained neural models aim at augmenting -or even replacing- current local routing and forwarding processes. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of constrained nonconvex optimization problems.

On the other hand, despite recent advances in automatic differentiation (AD) algorithms and software, incorporating automatic differentiation tools in optimization solvers remains largely unexploited. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities; requiring consequently to run the entire framework and its packages altogether to solve nonlinear optimization problems. Moreover, for constrained neural networks training, it would be beneficial to solve the corresponding optimization problems by means of unified AD tools. In this context, the main goal is to blend AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM for constrained problems.

Objective: instigate and investigate automatic differentiation tools for nonconvex optimization solvers that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s): design/formulate, develop and numerically evaluate enhancements of existing computational methods/algorithms such as ALM for solving constrained nonconvex optimization problems. To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration: from 3 months to 1 year (max.)

Candidate profile:

If MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math. engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
If internship: the candidate must have completed his/her MSc (in one of these disciplines) and ideally realized a thesis in one of the following domain(s): nonlinear programming, computational methods and algorithms for nonconvex optimization (incl. second order iterative methods, subspace methods, etc.), automatic differentiation. Copy of the MSc diploma/ certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

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Internship in Constrained Nonlinear Optimization

Huawei Leuven Research Center

Leuven, Belgium

Student

Option for/Allows Remote Job

In the context of context of communication networks, neural networks are primarily involved in automated pattern detection/extraction and recognition/identification tasks in online signal processing (packet flows for instance) but also sub-graph analysis (network topology and path properties). Neural models aim at augmenting -or even replacing- current local routing and forwarding models and processes. For this purpose, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. However, due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, their training performs by solving nonconvex optimization problems over nonconvex sets. Moreover, due to various operational or performance requirements, training further involves the solving of constrained nonconvex optimization problems.

On the other hand, automatic differentiation (AD) onto which neural training algorithms relies, remains largely unexploited in optimization solvers. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities, requiring in turn to run the entire framework and its packages altogether to solve nonlinear optimization problems. For energy-constrained neural networks training, it would also be beneficial to solve the corresponding nonconvex optimization problem (including nonlinear inequality constraints) by means of unified AD tools. Indeed, combining AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM yields a promising method.

Objective: investigate and design nonlinear programming methods for solving constrained nonconvex optimization problems that can rapidly converge with few function and derivative evaluations. Ideally the proposed algorithm would also improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s):

Formulate, develop and numerically evaluate enhancements/extensions of computational methods/algorithms including ALM for solving nonlinearly constrained nonconvex optimization problems.
To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems.
Integration of these tools into a unified AD framework will be realized in cooperation with computational/numerical method experts. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration:

Short duration (from 3 to 6 months): suited for MSc curriculum course
Long duration (up to 12 months): suited for MSc thesis internship
Note well: unpaid student internship (no working contract), only direct costs are reimbursed up to 660 Euros per month

Candidate profile:

MSc (or last year of MSc curriculum) in applied mathematics, mathematical engineering, theoretical computer science, or computer science engineering.
Strong nonlinear modeling and mathematical programming skills.
Very good knowledge of techniques such as first-/second-order iterative methods (PGD/PPD, ALM, ADM(M), etc.), inexact methods and/or Krylov subspace methods ((B)CG, Lanczos, GMRES, MINRES, Arnoldi, etc.) for nonconvex optimization problems.
Experience in programming with nonlinear optimization libraries, e.g., LANCELOT/ CUTE, MINOS, TRON, NLopt, etc.
Excellent written, verbal and interpersonal communication skills.
Knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must follow or have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date: May.1st, 2022 (earliest) – Oct.1st, 2022 (latest).

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Internship in Nonlinear Inverse Problems

Huawei Leuven Research Center

Leuven, Belgium

Student

Inverse problems seek to reconstruct the unknown model parameters characterizing the system under investigation from measured data. More precisely, nonlinear inverse problems start by considering a nonlinear operator between the parameters, and acquired information / observation about them, i.e., data or measurements. This operator constructs a model for the available data, assumed to depend only on these parameters. Since the inverse problem is the inverse of the forward problem, this operator is often referred to as the forward operator. n nonlinear inverse problems, the forward operator being nonlinear, the model parameters depend in a nonlinear way of the state of the system and therefore on the observations available on it.

However, inverse problems are typically ill-posed, as opposed to the well-posed problems (verifying existence, uniqueness, and stability of the solution(s)). Also inverse problems are also typically ill-conditioned, i.e., a small change in the input induce a large change in the response. Hence, to tackles them, nonlinear regularization functionals are often introduced in the objective function to prevent overfitting. The specific context of this internship sits when the resulting minimization problem also involves inequality constraints on the model parameters or some functions of them. These constraints are important to avoid invalid or non-significant values for the model parameters.

Task: Design and compare different numerical solving algorithms associated to different constrained nonlinear optimization methods. Evaluate and compare these algorithms both formally and numerically using various (synthetic or real) benchmark cases including network tomography, network properties inference, etc. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied/ Numerical mathematics, Math/Mechanical engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of networked systems is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Jun.1st, 2022.

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Lithography Process Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description
We are offering a long term Lithography Process Engineer with expertise and hands-on experience in lithography, patterning and metrology. The candidate will join the Advanced Technology Team based in Leuven, and will be responsible for developing lithography/patterning strategy, lithography materials/processes, metrology/measurement technologies, interfacing with physical design team and foundry partners. He/She should have good troubleshooting and problem prevention capabilities related to the lithography processing. This role requires strong communication skills, ability to work independently and to organize are essential.

Required Education and Experience:

M.Sc. or Ph.D. in Chemistry, Physics, Materials Science, Chemical Engineering, Electrical Engineering, Nano Science and Engineering or a related field
Advanced knowledge and at least 5 years of industrial experience in lithography and patterning
Experience with clean room environment, nanofabrication
EUV lithography experience is preferred
Excellent analytical skills
Good communication skills
Team-player
Able to work independently
Domestic and International travel, as necessary to support job responsibilities

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Logic Devices R&D Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

We are looking for highly motivated, team players to support engineering activities at our Huawei Belgium Research Center, Leuven.

To reach our goal we are looking R&D Engineer for Logic Devices

Report to the Advanced Technology Team based in Leuven, engaging in defining roadmap through extensive device data analysis, metrology and TCAD (Technology Computer Aided Design) work.

Our team’s mission includes but is not limited to:

Path-finding work to define future logic technology nodes and scaling
New technology evaluation
Next generation device/interconnection targeting and enablement
Co-work & drive our research partners globally (internal and external)
Analyzing semiconductor technology trends, define technology roadmap

Assignment Description: We are offering a long term R&D Engineer position enabling you to join the leading edge of semiconductor technology R&D.

The successful candidate will be working in close collaboration with the process technology and design teams spanning from the advanced semiconductor manufacturing, to the IC architecture and physical design. He/she will be expected to contribute to the definition of key technology parameters enabling robust and competitive design of our flagship mobile and network chips for better performance, lower power, and lower area at lower cost, giving the best and realizable PPAC outcome. This role requires the adoption of DTCO methodologies all the way from the identification of manufacturing capabilities to the build-up of process assumptions, selection of design rules together with their trade-offs. The role further requires critical thinking with emphasis on process module risk evaluation and providing innovating, breakthrough solutions; day-to-day communication with cross-disciplinary teams (internal & external), and our foundry / EDA / research partners on-site and across the globe. Strong communication skills, ability to work independently and to organize are essential.

The role offers competitive salary package matching global standards plus provides working environment in world leading research center with a team of multi-national engineers and researchers, allowing possibilities for individual growth in all sectors.

Required Education and Experience:

M.Sc. or Ph.D./Post-doc in Electrical Engineering or related discipline (fresh ~ 5 years’ experience)
Strong semiconductor device understanding
Familiar with the advanced semiconductor process and devices (e.g. finFET, GAA)
Understanding of unit process modules and technology
Excellent analytical skills with a detailed mindset
Good communication skills and strong team-player
Able to work independently
Willing to relocate to Leuven (Belgium) region

Location: Leuven (BE), 100 % on site

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Machine Learning (Data) Scientist - Language Understanding

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Machine Learning Applied Scientist to join our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on Huawei mobile phones. The team is responsible for advanced components of the search engine, including question answering, offline document analysis and machine translation. We are looking for a Machine Learning Applied Scientist to join our team and together build the future of search.

Our mission is to build a state-of-the-art search experience using the latest techniques in information retrieval, machine learning and natural language processing. We maintain active collaboration with local universities to push the envelope on search and deliver the best customer experience.

Responsibilities

You will work within a fast-paced team of applied scientists and engineers. You will contribute to all stages of the machine learning lifecycle and help maintain a positive team culture. Your responsibilities will include:

Create and implement new algorithms using the latest, bleeding-edge, advancements in ML research to solve applied problems in language understanding, such as question answering, sentiment analysis and information extraction.
Research new directions to solve problems in language understanding, such as novel architectures, quality estimation, model robustness and techniques for low-resource languages and domains
Work together with other applied scientists and machine learning engineers in an agile team

Required Qualifications:

Degree in Computer Science, Physics, Mathematics or related field
Broad knowledge of fundamentals and state-of-the-art in machine learning and statistics focusing on Natural Language Processing and/or Information Extraction
Excellent coding abilities in Python (other languages like Java and Go is a pro)
Experience with at least one deep learning framework like PyTorch or Tensorflow.
Working experience with SQL, ElasticSearch, and big data technologies
Excellent communication and collaboration skills

Preferred Qualifications:

Research contributions in one of the top tier NLP conferences (i.e. EMNLP, ACL, NAACL, etc.)
Experience processing non-European languages

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Machine Learning Engineer - Language Understanding

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Machine Learning Engineer to join our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on Huawei mobile phones. The team is responsible for advanced components of the search engine, including question answering, offline document analysis and machine translation. We are looking for a Machine Learning Engineer to join our team and together build the future of search.

Our mission is to build a state-of-the-art search experience using the latest techniques in information retrieval, machine learning and natural language processing. We maintain active collaboration with local universities to push the envelope on search and deliver the best customer experience.

Responsibilities

You will work within a fast-paced team of applied scientists and engineers. You will contribute to optimizing algorithms, building pipelines and data structures to automate the machine learning lifecycle and help maintain a positive team culture. Your responsibilities will include:

Apply the latest, bleeding-edge advancements in ML research to create state-of-the-art technologies.
Work together win a team of applied scientists and machine learning engineers in an agile team

Requirements

Mastered Java and at least one other programming language (Python and/or C/C++)
Degree in Computer Science, Physics, Mathematics or related field
Strong background in machine learning theory and practice with at least 3 years of hands-on experience implementing and deploying large scale machine learning systems.
Experience in Natural Language Processing or Information Extraction
Strong understanding of system design, data structures and algorithms
Experience with a deep learning framework like PyTorch or Tensorflow.
Experience with ElasticSearch, Spark, Hive, Hadoop or other big data technologies
Excellent communication and collaboration skills

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Mathematical Optimization Research Scientist

Huawei Leuven Research Center

Leuven, Belgium

Internship

Remote during pandemic

Our newly founded Network Technology Lab European Branch Division will play a leading role in researching new technologies for next generation networks. These include a.o. predictive network modeling, automated pattern detection/extraction and recognition/identification for multi-dimensional interaction modeling as well as fast converging solvers. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of challenging mathematical approximation, estimation, and optimization problems to support online/sequential decision processes. In order to build a team of high-end experts engaged in research work in the field of networking, we are searching for a Mathematical Optimization Research Scientist !

You want more?

Career in Huawei: candidate of Huawei Fellowship, opportunities of R&D on an international scale.
Working environment: globally teamwork across EU and Asia with English as business language.
Meaningful work: research results could support the requirement of Huawei’s products and solutions which are used and deployed in over 140+ countries and serving more than one third of the world’s population.
Team spirit: barrier-free communication between each researcher in Huawei, doors are open and collaborations are always welcome.

Position Responsibility:

Instigate and investigate emerging mathematical, algorithmic and computational methods and technologies for the online solving of large-scale network-related optimization problems.
Contribute to the tasks of the department on exploring new computational optimization methods and developing experimental tools to validate and compare them through numerical experiments, eco-systems building, academic collaboration, etc.
New methods and technology dissemination, including dialogue with R&D departments, public speech in world-class events, paper publication, academic collaboration, etc.

Position requirements:

Postdoc or PhD degree in Applied mathematics, Mathematical engineering, Numerical Mathematics but also Theoretical computer science, Computer science engineering.
- Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.
Strong research experience in either
- Continuous optimization and nonlinear programming together with very good knowledge of iterative and inexact methods for nonconvex optimization problems
- Stochastic optimization and related methods including stochastic approximation, sample average approximation, stochastic splitting methods etc.
- Functional analysis, nonlinear function approximation and related methods (incl. nonlinear adaptive, finite-element, wavelet methods)
- Statistical modeling, nonlinear regression analysis/nonlinear least-square and distributional/generalized nonlinear methods
Good knowledge of programming language (C/C++, FORTRAN), functional programming language (LISP, Julia, etc.) or numerical programming languages (such as Octave) is considered as a plus.
Ability to initiate and develop new ideas and initiatives in collaboration with both external/academic partners.
Excellent Communication skills - Presentation, oral and writing skills.

Seniority Level

Entry level

Duration

Fixed term: up to 2 years, renewable.

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PhD Graduate - Search

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for PhD graduates to join our search team in Amsterdam. Our team conducts applied research to support our industry-leading Cloud Search product that aims to provide Huawei mobile phone users with the optimal experience. We do research on a variety of search engine related topics including but not limited to: question answering, speech recognition, speech synthesis, machine translation, information extraction and retrieval, and knowledge representation and validation. The team actively researches new directions to improve our production performance and open new avenues for applications. This is a great opportunity for a fresh PhD graduate with strong research background and high enthusiasm who is looking to have real world impact at a large scale and learn every day from top experts in the field

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of model development, including data set selection and filtering, model training and algorithm optimization and performance evaluation. Your responsibilities will include:

Collaborate with other team members to develop, test, maintain and debug shared software libraries
Apply relevant machine learning techniques to develop models that satisfy production needs relevant to your product development
Create, implement and reuse algorithms to solve applied research problems relevant to your domain of work
Publish research findings in top tier conferences

Qualifications

Fresh PhD graduate or expected to be graduated within 6 months
Excellent understanding of the machine learning algorithms and stochastic optimization methods as taught in an AI/ML focused graduate program
Extensive research in one area relevant to Text or Speech understanding supported by published work in top machine learning venues, such as NeurIPS, ICML, AAAI, EMNLP, ACL, ICASSP, INTERSPEECH, SIGIR, etc.
Strong coding skills in Python or any other modern programming language (C++, Scala, Java, etc.)

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Planning Coordinator

Huawei Leuven Research Center

Leuven, Belgium

Employee

Remote during pandemic

We are looking for a Planning Coordinator, who will be working closely with local (Europe) and HQ (China) experts to gain insight in related regulation and industry trends in Europe, seek for potential industry opportunities. His/her primary focus will be helping the local supervisor to make business and strategy planning of the team and prepare reports to different management levels, and also as coordinator between local and HQ teams to enhance the efficient and well aligned working cooperation.

The company is putting together a dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

Collaborate with local experts in various fields to gain insights into regulations and industry trends in Europe, including but not limited to key standards organizations, industry alliances, certification organizations, key industry projects, and key partners, identify opportunities in the consumer product and service industry, and output industry reports.
Establish collaboration bridges between local standard and industry development experts and HQ business teams to facilitate communication and cooperation.
Assist local supervisor in business and strategy planning, kick off project at the beginning of the year, prepare mid-year report, end-of-year report, and other upper-level business reports.

Qualifications and Skills:

Proven working experience in business planning and strategy planning;
Strong information processing, oral and written reporting skills;
Good understanding on both European and Chinese culture, working experience in multicultural environment;
Holding an Engineering degree or above;
Experience in standardization and industry development is preferred;
Fluent in English and Chinese (spoken and written)

Hands-on and proactive working attitude, fast-learner, strong interpersonal and communication skills, self-driven

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Predictive Network Modeling Research Internship

Huawei Leuven Research Center

Leuven, Belgium

Student

Rough network data being typically unlabeled limits application of neural networks to unsupervised learning tasks (learning from unlabeled data). Tools for automated network data labeling becomes thus a first-level priority to enable supervised learning tasks (learning from hypothesis/candidate models) by means of neural networks. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, labeled datasets can be used for training neural models to augment -or even replace- current local routing and forwarding process.

On the other hand, a label can be considered as encoding the value of the objective function underlying the machine learning task or the parameter of a model (structured learning). Hence, automated labeling implies that either this objective or the model are formally known. This operation can be realized either in batch or online mode. The former typically assumes that the main performance criteria relates to the size of the input (assumed to be complete) that needs to be processed to reach a given accuracy level. The latter implies time-constrained processing of incoming input following different arrival processes; thus, the number of cycles/inter-arrival times required to reach a given accuracy level.

Objective: automatic labeling method of network data, including spatio-temporal data (traffic, etc.), structural data (topological, etc.)

Task: blends modeling, algorithmic and experimental research; the candidate will have the opportunity to explore, evaluate and compare different labeling algorithms by formal and numerical methods. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of traffic/network simulation is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

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Principal IC Design Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation RF transceivers, supporting 4G (LTE) and 5G systems.

Today, we're seeking team players and technical leaders who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

We are offering a PRINCIPAL (RF/ANALOG/mixed-signal) IC DESIGN ENGINEER – TECHNICAL LEADER position enabling you to join the creation of the next generation mobile phone chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

This role includes technical leadership, meaning technical hands-on expertise and excellent team skills; together with his/her teammembers, this candidate targets high and challenging standards on technical performance, product and process quality and project schedule.

You are/have:

MSEE with >15y industrial experience
Or relevant and excellent Ph.D., complemented by >10y industry experience
>8y proven technical team leadership
Excellent product track record
Excellent analytical skills
Expert in CMOS integrated circuit architectures and circuits
Good communication skills
Team-player
Result driven
Continuous strive for improvement in circuits and process
Detail oriented and determined
Willing to relocate to Leuven (Belgium)

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Research Program Manager 研究项目经理

Huawei Leuven Research Center

Leuven, Belgium

Freelance

Remote during pandemic

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Research Program Manager

The responsibility includes:

Manage the life cycle of research programs in the area of semiconductor and integrated circuits:

Understand key technological directions.
Discuss with key stakeholders and identify key research directions.
Align with both internal teams and external teams on the definition of joint research programs.
Following internal and external process, set up program structure with all necessary elements including relevant documents.
Ensure that project planning is in place by collaborating with other project manager and coordinators.

Required Education and Experience:

Master or PhD degree in relevant engineering disciplines.
More than 5 years experiences in the semiconductor and integrated circuits sector.
Experience of coordinating multi-site multi-culture teams.
Experience of managing the full life cycle of research projects.
Has a “can-do” mentality.
Passionate about large scale research programs.
Fluent in English. Knowledge of Chinese is a plus.

Location: Belgium Leuven, hybrid on-site and online.

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Semiconductor Industry Development Expert

Huawei Leuven Research Center

Leuven, Belgium

Freelance

Option for/Allows Remote Job

Huawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology solutions provider. With our three business units Carrier, Enterprise and Consumer, we offer network infrastructure, cloud computing solutions and devices such as smartphones and tablet PCs.

Among our customers are 45 of the world's top 50 telecom operators, 228 enterprises of the Fortune Global 500, 58 of the top 100, and one third of the world’s population uses Huawei technologies. Huawei has spent years developing industry-specific digital solutions based on its digital platform, which have been commercially used in multiple industries, e.g., urban management, transportation, and smart campus. In addition, Huawei fosters the formation of ecosystems, where members can use the digital platform for joint development, marketing, and market expansion, and obtain support in terms of development tools, personnel, funding, etc.

Huawei is active in more than 170 countries and has over 180,000 employees of which more than 80,000 are engaged in research and development (R&D). With us you have the opportunity to work in a dynamic, multinational environment with more than 150 nationalities worldwide. We seek and reward talent. At Huawei, if you are dedicated to creativity, engagement of technical risks and delivery of target-driven results, your efforts will be rewarded with outstanding career prospects.

We are currently looking for a Semiconductor Industry Development Expert to join our EU Standardization and Industry Development department. Our Industry Development department is responsible for the quality and timeliness of the corporate industry development strategies and implementation tactics. Another key mission is to help business departments coordinate and align their industry development strategies and implementation tactics with corporate strategy. It also ensures effective execution of industry development strategies and decisions to realize quality and efficient work.

The EU standardization and Industry Development Department responsibilities includes the following:

Execute corporate standardization and industry development strategies. Establish Huawei’s leadership and extend Huawei’s influence to local, regional and international standards organizations, alliances, and other industry organizations. Make Huawei’s innovation more prevalent in the industry through standards making.
Closely work with other departments to develop standardization and industry development strategies and development plans for the European region, and implement such strategies and plans.
Participate in activities relating in industry standards and alliances to be directly involved in driving the industry forward in Europe. Work with industry players to create a favorable industry ecosystem (e.g. 5GAA, 5GACIA). Nurture the many factors required to ensure sound industry development.
Develop and optimize globalized and localized operation mechanisms for account departments of industry standards organizations
Leverage local resources of high level experts and Huawei technology ambassadors and train as well as attract talent to develop and continuously improve local capabilities to industry development.

Your Responsibilities:

Support the industrial activities to develop Semiconductor ecosystems.
Develop and execute the required chip architecture strategies as well the chip system interop interface strategies.
Promote key technologies and development platforms to drive the usage of the Huawei chips and models by the industry (e.g. ARM, Risc-V).
Provide strategic guidance to ecosystem building, negotiates with external stakeholders (Industry and Policies) and provide technical & innovation transfer advice on ecosystems-related activities
Advocates with Huawei Business Line, HQ-Departments, Standardization & Industry Development and related Account Management teams on ecosystem strategy and ecosystem services planning and development approaches, relevant methodologies, and the influence in related EU programs

Requirements

Work experience & Professional profile

Have 5+ years Semmiconductor experience
Have a profound understanding and insights in the field of ARM and Risc-V architectures
Have a profound understanding and insight in the field of General Purpose Processor and Accelerator technologies
Have a profound understanding and insight in the field of CPU/FPGA/GPU/NPU architectures

Key business Skills:

Proven customer interface development skills, good customer understanding and requirement identification
Proven analytical and problem solving skills

Education and soft skills:

Msc or PhD in Electronics, Physics or Electrical Engineering
Have 10+ years of experience in Semiconductors
Direct experience in Marketing, Product or Design Engineering role
Project Management experience
Excellent leadership and influencing skills
Relationship building skills
Fluency in English (written and spoken)
Good interpersonal and communication skills
Ability to work with teams from different engineering disciplines and cultures, interacting positively, sharing knowledge and giving regular updates & feedback to the team and management

Job Details:

Job Function: Industry development strategies

Industry: Semiconductors and Electronics

Benefits

Driving future technologies focusing on the customer experience is our main mission. If you are enthusiastic in shaping Huawei’s future together with a multicultural team of highly skilled experts, this is the right opportunity for you.

By applying to this position, you understand that we may collect your personal data, store and process it in our systems. For more information, please see our PRIVACY STATEMENT. You can read in full our privacy policy via the link below.

https://www.huawei.com/en/privacy-policy

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Senior Analog IC Design Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation transceivers, supporting 4G (LTE), 5G and 6G systems.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing high speed communication market. Now is your chance to join our leading R&D team and to develop state-of-the-art prototypes and products.

Job Description.

We are offering SENIOR INTEGRATED CIRCUITS DESIGN ENGINEER positions enabling you to join the creation of the next generation advanced communication chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

The candidate will design (IC design), simulate, layout and test integrated analog, mixed-signal and/or RF circuits in advanced CMOS or SOI technologies.

He/she will also perform experimental verification and debugging, along with the integration of complex RF & Mixed Signal functions into system chips. Building accurate models based on layout extraction and 2D/3D modeling tools to match measurements with simulations is essential.

Required Education and Experience:

MSEE with 4+ years industrial experience
Or relevant and excellent Ph.D.
Master students with proven excellence are also invited to apply for similar junior function.Proven track record with silicon measured results
Expertise in CMOS analog, RF or mm-wave integrated circuit design
Experience with Cadence Spectre, Virtuoso or other equivalent Agilent and/or Mentor tools is required.
Good communication skills & team-player.
Result driven
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Willing to relocate to Leuven region (Belgium).

Location

Leuven (BE), (partially) remote during Covid situation

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Senior Engineering Routing Data Scientist

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with our competitors, and we are building with unprecedented speed to create the features that will be shipped in the next-gen releases of our products used by hundreds of millions.

Joining our team means joining an epic endeavour. Calling our environment dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active, to take initiative and to show leadership. If you want to lead the way we offer you plenty of room and support. We highly value team work, which shows in the way we organise projects and research. Of course we have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD, in order to guarantee the sustainability of our R&D projects. And we are an international team, we will soon be onboarding our 17th nationality!

The mission of the routing team is to drive innovation in the area of navigation, and associated products such as maps, traffic information, travel time estimates, and last-mile mobility. Our team operates in the intersection of statistical modelling and machine learning, algorithm design, system design, data engineering, and sensor fusion, chiefly focusing on researching novel approaches leading to faster, more accurate and more flexible route planning, as well as achieving travel time accuracy to the minute, for any user in any context.

As member of the team you will contribute to our innovation portfolio with your ideas, code and models. You are not only expected to prototype and demonstrate cutting edge approaches, but also to participate in research projects that lead to papers and patents. If you have an exotic idea around route planning, upstream dependencies (e.g. traffic models) or downstream last-mile routing applications (e.g. parking prediction), we not only want to hear about it, we want to see it in action!

Requirements

Bachelors or Master’s degree in quantitative field such as Computer Science, Physics or Statistics from a top university;
5+ years’ experience developing applied research projects end-to-end, from experimental design to product, preferably in the domain of navigation, map-making, positioning data, traffic, or mobility;
Expert knowledge of Python;
Good command of the Python Data Science stack, such as Pandas, Numpy, Scikit-learn, NetworkX, Pytorch, Tensorflow, etc;
Experience working with large location data sets or graph data sets;
Solid understanding on statistical principles and/or machine learning models;
Demonstrated leadership and independence when ideating, conducting and promoting research projects;
Strong communication and presentation skills;
Adherence to sustainable coding and craftsmanship principles.

We highly value PhD graduates in the area of graph search / machine learning, in which case 2+ years of experience is sufficient.

Furthermore we expect you to tick at least two of the following boxes:

Experience with large scale models in production;
Experience with C++, Java, Rust, Go, Scala, or other programming languages;
Experience with building ETL pipelines leveraging latest technologies and techniques (e.g. Airflow, Spark, or Flink, etc.);
Experience with devops (Docker, CI/CD on GitLab or GitHub);
Experience using cloud services (e.g. AWS, Google Cloud, or Azure).

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Senior mmWave Design Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation transceivers, supporting 4G (LTE), 5G and 6G systems.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing high speed communication market. Now is your chance to join our leading R&D team and to develop state-of-the-art prototypes and products.

Job Description.

We are offering Senior mmWave Design Engineer positions enabling you to join the creation of the next generation advanced communication chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

The candidate will design (IC design), simulate, layout and test integrated analog, mixed-signal and/or RF circuits in advanced CMOS or SOI technologies.

He/she will also perform experimental verification and debugging, along with the integration of complex RF & Mixed Signal functions into system chips. Building accurate models based on layout extraction and 2D/3D modeling tools to match measurements with simulations is essential.

Required Education and Experience:

MSEE with 4+ years industrial experience
Or relevant and excellent Ph.D.
Master students with proven excellence are also invited to apply for similar junior function.Proven track record with silicon measured results
Expertise in CMOS analog, RF or mm-wave integrated circuit design
Experience with Cadence Spectre, Virtuoso or other equivalent Agilent and/or Mentor tools is required.
Good communication skills & team-player.
Result driven
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Willing to relocate to Leuven region (Belgium).

Location

Leuven (BE), (partially) remote during Covid situation

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Senior Product Manager Searching Tools

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Responsibilities

Build a long term product vision and value proposition based on customer needs, competitive analysis and overall Huawei CloudService strategy. Product differentiation is key.
Define product roadmap and set engineering priorities. Work closely with Huawei mobile phone and cloud service teams to collect market feedback and re-align roadmaps.
Create detailed functional and non-functional requirements and work closely with R&D to guide the product development phase on all dimensions including content, timing, quality etc.
Evangelize product vision and value propositions to customers, partners and internal stakeholders.
Responsible for GTM readiness, sales enablement and business development support.
Support business operations and monetization teams in defining and implementing an appropriate licensing and commercial model.

Qualifications

Prior experience as a Product Manager defining and managing product roadmaps, business case analysis, customer presentations etc.
A deep sense of search market, product and ecology.
Expert level knowledge either in the NLP, Knowledge Graph, Bigdata platform, Information Retrieval, etc.
Data driven approach to problem solving and pay attention to detail without losing sight of the big-picture.
Strong communication and influencing skills – both for internal and external stakeholders.
Independent thinker and self-starter that operates with a sense of urgency and is able to research and present findings with minimal direction.
A pragmatic approach and the ability to thrive under pressure of constant change and moving objectives. Ability to work in a changing, dynamic environment.
Good understanding of the software development life cycle and product life cycle.
Knowledge of data analytics, statistics, machine learning and willingness to build advanced skills in this area.
Product manager experience in search related companies like Google Search, Microsoft Bing, TomTom, Hear, Yandex, etc. is a plus.

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Senior RF IC Layout Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Huawei Leuven R&D team develops next generation RF transceivers, supporting 4G (LTE) and 5G protocols.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are offering a senior layout engineer position enabling you to join the creation of the next generation mobile phone chips.

The Senior RF IC Layout Engineer will be part of an experienced layout team. In close cooperation with his colleagues he will be in charge of the layout of high speed analog and RF circuits and he will take up a leading role in the floorplanning and optimization of the system on chip.

He is an expert user of Cadence and Mentor tool suites on nanometer RF CMOS and/or RF SOI technology.

The successful candidate will work closely with the RF designers. He/she will take into account the constraints from the designer and will go through iterations with the designer to further optimize the layout from a performance and area perspective.

RF circuit layout experience in the sub 10-Ghz range is mandatory.

The layout engineer should have a good understanding of the different circuit topologies and their constraints for the layout. implementation. Good understanding of the layout rules enables to optimize the implementation.

The senior layout engineer is also capable to perform extraction of parasitic and make the interpretation of these results in view of further optimization.

Required Education and Experience:

Industry Degree qualified (BS or MS EE degree)
Ample experience with the Cadence OA VirtuosoXL
Experience with RFIC layout (GHz range) in CMOS technology
Finfet experience is a major plus.
Automation for layout is a plus.
Good communication skills & team-player.
Process oriented, ability to structure the RF layout process
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Relocation to Belgium, if applicable, is strongly recommended.

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Senior Software Engineer - Routing

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with our competitors, and we are building with unprecedented speed to create the features that will be shipped in the next-gen releases of our products used by hundreds of millions.

Joining our team means joining an epic endeavour. Calling our environment dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active, to take initiative and to show leadership. If you want to lead the way we offer you plenty of room and support. We highly value team work, which shows in the way we organise projects and research. Of course we have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD, in order to guarantee the sustainability of our R&D projects. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. And we are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the routing team is to drive innovation in the area of routing and microservices. Our team is strong in graph search algorithms, distributed architectures, embedded platforms and machine learning. We strive for a healthy balance between implementing and maintaining classic algorithms and research. Our research is in the area of algorithms, architecture, and machine learning.

As member of the team you will contribute to our code base with routing algorithms, distributed systems and you will take part in research projects. You are also expected to participate in research projects that lead to papers and patents.

Requirements

Bachelors or Master’s degree in Computer Science or related field
5+ years’ experience developing production systems
Expert knowledge on C++ (14/17), Go or Rust
Solid understanding of graph algorithms & data structures
We highly value PhD’s in the area of graph search / machine learning, in which case 2+ years of experience is sufficient.

Furthermore we expect good knowledge in at least two of the following topics:

Large scale routing or graph algorithms in production
Microservices, distributed or event based architectures
Location based services (e.g. mapping, localization, routing, traffic)
Python
Machine learning
DevOps (Docker, k8s, vagrant, AWS, google cloud)
Sustainable coding and craftsmanship principles

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Senior Speech Recognition Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for 3 Superstars who have expertise in Speech Recognition/Text-To-Speech for our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience with Huawei Mobile Service (HMS). You will work within a fast-paced international team of expert scientists and engineers, and be responsible for state-of-the-art ASR and TTS R&D to enable natural speech interface between human and machine.

Responsibilities

Design, develop, test and deploy multi-lingual cloud and embedded ASR/TTS systems.
Process and manage big data.
Deliver accurate and fast speech products for over 40 languages around the globe.
Apply error analysis of deployment or/and recognition issues.
Participate innovative research projects which may lead to scientific publications and patents, such as end2end systems, RNN-transducer, Tacotron TTS and etc.
Collaborate closely with speech teams in China and Finland.
Help build a positive, energetic and most importantly COOL team culture.

Requirements

Master’s in Computer Science, Applied Mathematics, Physics or Statistics. PhD is a plus.
Strong background in deep learning, ASR and TTS.
At least 3 years of industrial hands-on experience of implementing and deploying large scale machine learning systems.
Strong analytic skills related to working with ASR&TTS systems.
Strong proficiency in Python and C++ and experience with at least one deep learning framework like PyTorch and Tensorflow.
Excellent communication and collaboration skills in English.
Proficiency in 1 or 2 languages besides English is a plus.

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Senior Tax Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Responsibilities:

Researching and understanding tax law
Meeting clients to gather information and explain options to them
Liaising with HM Revenue and Customs on your clients’ behalf
Checking and completing tax forms
Auditing clients’ tax records
Prepare Budget, Forecasting and execution tracking analysis by communicating with BUs within the Company or the Group from time to time;
Perform BS/PL/CF analysis, identify & articulate exceptions with solutions
Test of internal control and initiate plan for process optimization
Perform Fund planning and variance analysis (Monthly and weekly) for the company as well as communication with both local banks and treasury team from HQ
Assist to liaise with partners for the cooperation project including Billing Funding and Joint Audit etc
Assist to attend annual audit and tax compliance of the company

Skills and Qualifications:

Degree of Finance or Accounting (Bachelor or above)
Understanding of IFRS and Local Gaap
Over 3 years tax experience within another professional services environment.Good understanding of local taxation and hands on experience of tax compliance of the company;
Good Knowledge of Hyperion and Oracle reporting tool;
Ability to coordinate and control a range of activity and contribute advice independently
Attention to accuracy and hands-on detail work attitude.
Fluent in English (Oral and written), Dutch&/or French is a plus,
Team player with Strong communication skills and working knowledge of Excel
Self-motivated ,strong sense of responsibility, with Enthusiasm and flexibility to take lead and initiative for continuous improvements

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SID Director

Huawei Leuven Research Center

Leuven, Belgium

Freelance

Huawei is a global ICT leader across Cloud and AI, telecommunications, and consumer and mobile businesses. Huawei’s European Standardization and Industry Development (SID) department is responsible for Huawei’s overall strategy and industry engagement across its European ecosystem, including with open source communities, partners, and customers. The Huawei European SID (Standardization and Industrial Development) department is seeking for a SID Country (Belgium) Responsible.

The Owner of Belgium Ecosystem Development will be responsible for leading Huawei’s strategy and engagement with the Belgium SID ecosystem. This role at Huawei is highly strategic and visible both within the company and in the overall industry.

Job responsibilities include:

Responsible for leading the insight into the local industrial environment, accurately identifies changes in industrial direction, formulates industrial development plans, and implements corporate standards, ecological and industrial development strategies locally
Responsible for establishing effective connections with key local industry organizations (standard organizations / industry alliances / open source communities, technology innovation organizations, etc.), enhance Huawei ’s industrial influence in the country, and handle crisis management and effective control of risks to ensure business continuity
Based on industrial organization, promote business-based bilateral innovation and cooperation between key players (operators / industry partners / institutions, etc.) with Huawei (national innovation projects, white papers, standards, key positions, etc.), and promote the continuous and effective participation of each BU
Responsible for the technical policies and regulations and their global impact, formulate corresponding strategies or strategies to eliminate the obstacles to policies and regulations for Huawei to enter the country's market
Responsible for the construction and continuous improvement of industrial development capabilities, training and attracting high-end talents, promoting effective coordination with European and global work, and supporting the company's global industrial development layout
Ensure that our standards and industrial development work achieves cross-sectoral strategies and tactics, unifying thoughts, positions and voices with the collaboration with research center, PACD, MKTG…

A good candidate for this position will have:

Bachelor degree or above, graduated in information major or has 5 years of ICT experience;
Work experience in standards organization and industrial associations is preferred, and good external communication and cooperation capabilities, including between the company and other departments within the company;
Have fast learning ability, can learn to master the company's products in various fields as soon as possible, so as to understand the principles and the dimensions of product users.
Excellent written and oral English and local language

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Silicon Photonics Design Engineer

Huawei Gent Research Center

Gent, Belgium

Employee

Huawei Belgium Research and Development Group (formally Caliopa) is a center of excellence for silicon photonics design and processing. It was initially created as a spin-off from the University of Gent and Imec in 2010 but it has been acquired by Huawei in 2013. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics research and development and implementing solutions based on this technology. Huawei Belgium R&D group is at the heart of this program. The group is located in Gent, a vibrant city in Belgium in the heart of Europe.

To strengthen our team, Caliopa is now looking for a Photonics Design Engineer.

Job responsibilities:

Work as part of a team of photonic design engineers dedicated to developing Huawei’s silicon photonics platform
Design and validate photonic components, subsystems and circuits
Define test plans and analyze experimental data in R&D phase
Work closely with components/modules teams
Work closely with the processing and test teams
Depending on your skills and interests, the job can focus more on developing and optimizing the building block library, next-generation product development or developing cutting edge technologies for application further in the future

Requirements & Qualifications:

In depth knowledge of integrated optics
Education requirements:
- Ph.D. in Photonics, Electrical Engineering, Physics, or related field
- M.S. in Photonics, Electrical Engineering, Physics, or related field + 2 years of work experience in a photonics research center or foundry

Experience requirements:
- Design and test of photonic components in silicon photonics or III-V materials
- Experience with design and test of high speed photonics active components would be an advantage
- Hands on experience with photonics modelling tools (e.g. Photon design, Lumerical, COMSOL, CST)
- Hands on experience with layout tools (e.g. Tanner L-Edit, Luceda Ipkiss). Experience with Luceda Ipkiss would be an advantage
- Experience with Python would be an advantage
- Experience with Linux or C# would be an advantage
Language:
- Fluent in English (written and spoken),
- Dutch or Chinese language knowledge is a plus
Attitude:
- Strong team player
- Excellent written and oral communication skills
- Creativity in problem-solving
- Continuous improvement

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Spontaneous Application

Huawei Leuven Research Center

Leuven, Belgium

Employee

Spontaneous Application

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Technical Lead Maps Engine

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organize projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the Map platform including Routing, ETA, Map Matching and Computer Vision. Your responsibilities will include:

Projects/technical lead: keep meeting and exchange information with HQ product leaders about project/business requirements, tech specifications, project plans, acceptance criteria, deliveries, sourcing resources, daily local project activities, etc. Make sure local tech groups always work on the right things, deliver valuables and with high quality.
Team lead and member management: member performance management and evaluation, take care of day to day business of each one/group, recruitments and interviews, team building, etc.
Research coordinator: driving outside academic collaborations, internally mining the new research topics/chances, applying funding and driving the execution of the projects. Help the team achieve research KPI’s, and achieve long-term competitiveness.

Qualifications

MS/BS in CS/EE, mathematical or machine learning related subjects.
Strong experiences in researching, designing, implementing and delivering commercial AI projects with models/software (Minimum: 8 years)
Proven track records of managing multiple teams.
Able to lead/cultivate team technically.
Solid knowledge and commercial projects background of Pytorch, Tensorflow, Keras, etc.
Experienced in real world large scale mapping products
Extensive working knowledge in Python、C、C++ 、Java、Go
Research and/or industrial background in mapping, localisation, routing, traffic etc.
Willing and Ambitious to challenging world-level touch problems in location and Map engine.
Good communication skills and English speaking, experienced working in a cross-culture and global distributed team.

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Technical Lead Search Engine

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Search Team will leverage the best talent and infrastructure to build an industry-leading Cloud Search product that will allow Huawei mobile phone users to search over all their queries with best-in-industry with advanced user experiences, such as intention recognition, that would tremendously increase their experience. Our mission will be accomplished through utilizing advanced technologies to ensure knowledge data discovery and extraction, create intelligent experience, and design a robust data storing, indexing and querying architecture.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the search engine including offline page storing/analysis/indexing, online querying/reranking/sorting. Your responsibilities will include technically lead Huawei Petal Search Amsterdam R&D branch, exploring state-of-art solutions covering NLP, ASR, Information Retrieval, Knowledge graph, video semantics, etc. Finishing planned projects like Machine translation, Segmenter, Question Answering, etc, according to global R&D roadmaps. Meanwhile, leading the research activities with local universities , helping constructing long-term competitiveness for Huawei Petal Search globally.

Qualifications

MS/BS in CS/EE, mathematical or machine learning related subjects.
Strong experiences in researching, designing, implementing and delivering commercial AI projects with models/software (Minimum: 8 years)
Proven track records of managing multiple teams.
Able to lead/cultivate team technically.
Solid knowledge and commercial projects background of Pytorch, Tensorflow, Keras, etc.
Experienced in real world large scale searching engine products, especially in multilingual multimodal information retrieval, time/cost efficiency of the algorithms, open-domain knowledge graph, etc.
Extensive working knowledge in Python、C、C++ 、Java、Go
Research and/or industrial background in machine learning, deep learning, natural language processing, knowledge graph, etc.
Willing and Ambitious to challenging world-level touch problems in AI and Search engine.
Good communication skills and English speaking, experienced working in a cross-culture and global distributed team

Qualifications considered a pre

PhD degree.
Working experience in MS Bing, Google Search, Booking or related global search engines.(Minimum: 5 years)
Leading professor in TOP academic research organizations in Information Retrieval, NLP, or Knowledge Graph.
Published influential papers in ACL、EMNLP、NAACL、COLING、ICLR or related TOP conferences.

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UX Researcher

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

Huawei is looking for a UX researcher to enhance and support the PM team working on Petal Search. As a member of the global cross-functional team, you are responsible for research and validation of high-quality user experiences across several verticals such as Shopping, Travel and Nearby. Ideally, you come from a product design & research background with direct experience working with e-commerce B2C products.

Responsibilities:

As an integral part of the product management team, identify UX research needs in existing and upcoming products: define what research is needed to understand our users' behaviour and how it should be done.
As the team's first and only UX specialist, design and conduct user experience research for various search products across key regions and cultures.
Transform functional requirements into customer journey maps and user stories to deliver best-in-class user experiences ready to be used by design and engineering teams.
Own the research documentation and guidelines across multiple products; promote the research-driven approach in global Huawei's PM community.

Business skill requirements:

Hands-on knowledge of qualitative & quantitative research techniques, 3rd party research services.
You are comfortable with ambiguity and capable of establishing research processes around you from scratch.
You have experience working with either B2C e-commerce, travel or geo applications.
You are comfortable working directly with developers, product owners, and copywriters across different cultures and languages.
At least 3 years of experience working as a user researcher in a product-driven company.
You have strong written communication and story-telling skills; bonus points for doing that in Mandarin. Helpful as part of the team is based in China.

What do we offer?

An international team of e-commerce professionals working on an ambitious project to build a complete search ecosystem for mobile.
Start-up environment feel with room for new ideas, approaches and out-of-the-box solutions.
Flexible working hours and WFH policy.

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Video Semantic Retrieval Researcher

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a talented Video Semantic Retrieval Researcher who is excited to join our Search Engine team in Amsterdam

Do you love working on images, videos and a whole family of multimedia? Are you passionate about developing cutting-edge Machine Learning techniques? Do you have vision and talent to develop the next generation of search engine for innovative human-machine interaction? Then we have an element opportunity for you to make your dream come true!

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on the whole chain of Huawei devices. You will work within an international and fast-paced team of expert scientists and engineers, and be responsible for establishing state-of-the-art multimedia search engine to connect to the real-world in the most natural way.

Responsibilities

Design and develop computer vision related algorithms, based on deep learning/neural networks techniques.
Provide strong leadership in defining and articulating innovative and practical technical solutions that address various business needs for the video search channel of Huawei search engine (petal search)

Requirements

PhD in Computer Science/Engineering specializing in Computer Vision, Machine Learning, or similar fields.
Hands on experience in designing offline/real-time video processing/computer vision algorithms and applications, e.g., object detection, segmentation, tracking, recognition, classification, tagging, summarization, embedding, and retrieval.
Researching latest Academic papers and cutting-edge industrial approaches, working on break-through researching as well as applied algorithms.
Demonstrated projects with deep learning framework such as CNN, RNN/LSTM using Tensorflow, Pytorch etc.
Skilled in OpenCV and video/image processing open source libraries.
Skilled in C/C++ and Python.
Ability to scope and schedule deliverables independently, and be accountable for executing, performing and delivery.
Energetic, self-motivated and execution oriented individuals, passionate in building best in class products.

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